Parturition Detection Using Oxytocin Secretion Level and Uterine Muscle Contraction Intensity

Author:

Harshavardhan DORCID,Saisree KORCID,Ragavarshini SORCID

Abstract

The "Parturition Detection Sensor Belt," also known as the "Labor Pain Detection Sensor Belt," represents a novel advancement in maternal health monitoring. "Parturition Detection Sensor Belt" designed to simultaneously predict oxytocin levels and monitor uterine muscle contractions. This innovative system combines real-time prediction of oxytocin levels and simultaneous monitoring of uterine muscle contractions to provide a comprehensive solution for parturition detection. By integrating cutting-edge sensor technology and deep learning algorithms, the system offers precise, non-invasive monitoring during labor. The oxytocin level predictions aid in understanding maternal well-being, while the real-time uterine muscle contraction monitoring ensures early detection of labor progression. This interdisciplinary approach leverages advancements in biomedical engineering and data analysis, holding promise for improving the safety and care of expectant mothers. The "Parturition Detection Sensor Belt" has the potential to revolutionize the field of obstetrics by offering a versatile tool for healthcare providers, enhancing maternal health, and facilitating data-driven research in this critical domain. A correlation is developed between oxytocin release and muscle contraction which turns out to be nearly 0,899836. This infers that the two factors that we are considering as important parameters are having a strong association with each other

Publisher

Salud, Ciencia y Tecnologia

Reference17 articles.

1. 1. Marie Prevost, Phyllis Zelkowitz, Togas Tulandi, Barbara Hayton, Nancy Feeley, C. SueCarter, Lawrence Joseph, Hossein Pournajafi- Nazarloo, Erin Yong Ping, Haim Abenhaim, and Ian Gold, "Oxytocin in Pregnancy and the Postpartum: Relations to Labor and Its Management," Front Public Health. 2014; 2: Received 2013 Jul 25; Accepted 2014 Jan 10., pp. 1-15, 2014.

2. 2. Seoyoung Yoon & Yong-Ku Kim, "The Role ofth Oxytocin System in Anxiety Disorders," in Advances in Experimental Medicine and Biology, vol. volume 1191, 2020, pp. 1-17.

3. 3. Romero-Carazas R. Prompt lawyer: a challenge in the face of the integration of artificial intelligence and law. Gamification and Augmented Reality 2023;1:7–7. https://doi.org/10.56294/gr20237.

4. 4. Daisuke Ino, Yudai Tanaka, Hiroshi Hibino & Masaaki Nishiyama , "A fluorescent sensor for real-time measurement of extracellular oxytocin dynamics in the brain," no. October 2022, pp. 1- 14, 2022.

5. 5. Benjamin A. Tabak, Gareth Leng, Angela Szeto, Karen J. Parker, Joseph G. Verbalis, Toni E. Ziegler, Mary R. Lee, Inga D. Neumann &Armando J. Mendez, "Advances in human oxytocin measurement: challenges and proposed solutions," no. January 2023, pp. 1-13, 23 August 2022.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3